Triple
T37058289
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Garfield Heard |
E917252
|
entity |
| Predicate | shotStyle |
P17665
|
FINISHED |
| Object | turnaround jump shot |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: turnaround jump shot | Statement: [Garfield Heard, shotStyle, turnaround jump shot]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shotStyle Context triple: [Garfield Heard, shotStyle, turnaround jump shot]
-
A.
shootingStyle
chosen
Indicates the characteristic manner or technique with which an entity performs a shooting action (e.g., in sports or photography).
-
B.
shotType
Indicates the specific kind or category of shot used or taken in a given context (e.g., in film, photography, or sports).
-
C.
shotBy
Indicates that one entity fired a projectile or weapon that hit and wounded or killed another entity.
-
D.
shotIn
Indicates that an event, scene, or media production was filmed or recorded at a particular location.
-
E.
shotOn
Indicates that one entity fired or took a shot at another entity, typically in a sports or combat context.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f76e95fa40819091e14681087ae5e4 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb34e5576881909394355c8ec6ddd2 |
completed | May 6, 2026, 12:32 p.m. |
| PD | Predicate disambiguation | batch_69fb2f6171e88190bf1e0ee6a644b6a9 |
completed | May 6, 2026, 12:09 p.m. |
Created at: May 3, 2026, 4:14 p.m.